Censoring issues in survival analysis

A key characteristic that distinguishes survival analysis from other areas in statistics is that survival data are usually censored. Censoring occurs when incomplete information is available about the survival time of some individuals. We define censoring through some practical examples extracted fr...

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Veröffentlicht in:	Annual review of public health 1997-01, Vol.18 (1), p.83-104
Hauptverfasser:	Leung, K M, Elashoff, R M, Afifi, A A
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias Data Interpretation, Statistical Humans Likelihood Functions Observational studies Proportional Hazards Models Public Health Reproducibility of Results Statistical methods Survival Survival Analysis Time Factors
Online-Zugang:	Volltext
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